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CSCI 0100 - Data Fluency for All |
This course is intended to introduce Brown students to computational techniques that data scientists use to tell stories. Data fluency encompasses both data literacy, the basics of statistics and machine learning, and data communication, which relies heavily on principles of design. Students will gain hands on experience using statistical tools such as 'R' to analyze real world data sets, and 'ggplot' to visualize them. Sample application domains include just about every field, since the only requirement is data, which there almost always are (e.g., the complete works of Shakespeare is a sample data set).
1.000 Credit hours 1.000 Lecture hours Levels: Extra Credit Graduate, Undergraduate Schedule Types: Primary Meeting Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate |
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